期刊名称：The Journal of Health, Population and Nutrition
印刷版ISSN：1606-0997
电子版ISSN：2072-1315
出版年度：2011
卷号：29
期号：6
页码：567-573
语种：English
出版社：International Centre for Diarrhoeal Disease Research Bangladesh
摘要：The detection of unusual patterns in the occurrence of diseases is an important challenge to health workers interested in early identification of epidemics. The objective of this study was to provide an early signal of infectious disease epidemics by analyzing the disease dynamics. A two-stage monitoring system was applied, which consists of univariate Box-Jenkins model or autoregressive integrated moving average model and subsequent tracking signals from several statistical process-control charts. The analyses were illustrated on January 2000–August 2009 national measles data reported monthly to the Expanded Programme on Immunization (EPI) in Bangladesh. The results of this empirical study revealed that the most adequate model for the occurrences of measles in Bangladesh was the seasonal autoregressive integrated moving average (3, 1, 0) (0, 1, 1)12 model, and the statistical process-control charts detected no measles epidemics during September 2007–August 2009. The two-stage monitoring system performed well to capture the measles dynamics in Bangladesh without detection of an epidemic because of high measles-vaccination coverage. Key words: Communicable diseases, Disease models, Disease outbreaks, Seasonal autoregressive integrated moving average model, Statistical process-control charts, Bangladesh
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